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. Author manuscript; available in PMC: 2009 Mar 9.
Published in final edited form as: J Clin Epidemiol. 2008 Feb 14;61(6):580–587. doi: 10.1016/j.jclinepi.2007.08.001

Table 2.

C-Statistics Rating Model Performance for One-Year Mortality Following Hip Fracture among Medicare Beneficiaries


Adjustment Instruments
Charlson
Implementation Strategy CCS Components Index Iezzoni



MedPar (index+pre-period) + Part B (pre-period) 0.76 0.72*, 0.71*, 0.73*,
MedPar (pre-period) + Part B (pre-period) 0.72*,§ 0.69*,,§ 0.69*,,§ 0.70*,,§
MedPar (index) + Part B (pre-period) 0.76 0.71*, 0.70*, 0.72*,
Part B (pre-period) 0.71*,§ 0.68*,,§ 0.68*,,§ 0.70*,,§
MedPar (index + pre-period) 0.76 0.71*, 0.71*, 0.72*,
MedPar (pre-period) 0.69*,§ 0.68*,,§ 0.68*,,§ 0.68*,,§
MedPar (index) 0.75*,§ 0.70*,,§ 0.69*,,§ 0.71*,,§

Legend:

Models are arranged from most to least complex based on data source and time frame to which each was applied. All models adjusted for age, sex, and race differences.

*

Comparison 1 - denotes statistical difference (p < 0.05) from the reference standard model:

CCS - MedPar (index + pre-period) + Part B (pre-period).

Comparison 2 - denotes statistical difference (p < 0.05) from the model with the greatest number of parameters (CCS) across risk-adjustment strategies for the same data source and time-frame combination.

§

Comparison 3 - denotes statistical difference (p < 0.05) from the model with the broadest data source and time-frame combination [MedPar (index + pre-period) + Par B (pre-period)] within each risk-adjustment strategy.